Hi everyone,
I’m working with spatial transcriptomics data in Seurat but only have these files:
filtered_feature_bc_matrix.h5
tissue_hires_image.png
tissue_positions_list.csv
scalefactors_json.json
I need to generate tissue_lowres_image.png
because my system can’t handle the high-res image because I'm working with multiple tissues, is there a tutorial on how to downscale tissue_hires_image.png
or how to create the tissue_hires_image.png
?
Either Python or R will be fine
sorry for the incomplete question. Yes, its 10x spatial data and I'm having trouble comparing the multiple tissues because I don't have enough memory I used the calculations in the 10x support in the link you provided and I was able to solve the problem. thanks